UniNE at Domain-Specific IR - CLEF 2008: Scientific Data Retrieval: Various Query Expansion Approaches
نویسندگان
چکیده
Our first objective in participating in this domain-specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russian languages, in an effort to obtain better retrieval effectiveness than that of the language-independent approach (n-gram). To do so we evaluate the GIRT-4 test-collection using the Okapi, various IR models derived from the Divergence from Randomness (DFR) paradigm, the statistical language model (LM) together with the classical tf.idf vector-processing scheme.
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